Data as of .
IFRA vs QTUM: which is really different?
IFRA holds 71.4% of its weight in S&P 500 companies and QTUM 34.8%.
ETFIQ Off-Index Score: IFRA scores higher
How much of it is not the index it is sold as an alternative to?
A percentile among the 371 thematic ETFs with a holdings filing. It is a position in a set, not a rating, and neither end of it is a recommendation. All thematic ETFs ranked by it · How it is computed
What they hold in common
By the books each fund has filed, IFRA and QTUM hold 0% of their money in the same securities at the same weight.
| Only in IFRA | Only in QTUM |
|---|---|
| UNION PACIFIC 4.43% | Arqit Quantum Inc 1.82% |
| NEXTERA ENERGY 4.05% | Global Unichip Corp 1.82% |
| CATERPILLAR INC 3.76% | Horizon Quantum Holdings Ltd 1.81% |
| QUANTA SERVICES INC 3.52% | Cloudflare Inc 1.66% |
| CSX 3.48% | Elastic Nv 1.63% |
| SOUTHERN 2.91% | Snowflake Inc 1.63% |
| CONSTELLATION ENERGY CORP 2.85% | Hewlett Packard Enterprise Co 1.62% |
| NORFOLK SOUTHERN CORP 2.78% | Nutanix Inc 1.58% |
Weight overlap is an ETFIQ calculation: for every security both funds hold, the smaller of the two weights, summed. Above 50%, holding both is close to holding one of them twice. Holdings dated Sep 10, 2026 and Sep 14, 2026.
Performance, window by window
| Window | Total return | vs the S&P 500 | vs the Nasdaq-100 | |||
|---|---|---|---|---|---|---|
| IFRA | QTUM | IFRA | QTUM | IFRA | QTUM | |
| 3 months | −5.6% | −8.5% | −8.9 pts | −11.8 pts | −4.8 pts | −7.7 pts |
| 6 months | +2.3% | +35.3% | −13.7 pts | +19.3 pts | −18.4 pts | +14.6 pts |
| 1 year | +13.5% | +50.4% | −4.0 pts | +32.9 pts | −9.5 pts | +27.4 pts |
| 3 years | +61.6% | +204.4% | −16.3 pts | +126.5 pts | −33.5 pts | +109.3 pts |
| Since launch | +169.3% | +536.1% | −57.4 pts | +337.3 pts | −200.6 pts | +225.6 pts |
| IFRA iShares U.S. Infrastructure ETF Holds 164 stocks in infrastructure, 71% of its weight in S&P 500 companies | QTUM Defiance Quantum ETF Holds 89 stocks in quantum computing, 35% of its weight in S&P 500 companies | |
|---|---|---|
| Issuer | iShares | Defiance |
| Theme | Infrastructure | Quantum computing |
| In the S&P 500 | 71.4% | 34.8% |
| Active share vs the S&P 500 | 95.7% | 82.6% |
| In the Nasdaq-100 | 11.0% | 27.2% |
| Holdings | 164 | 89 |
| Top ten, share of the fund | 33.1% | 16.6% |
| Expense ratio | 0.30% | 0.40% |
| Fee for the differing part | 0.31% | 0.48% |
| Total return, 1 year | +13.5% | +50.4% |
| vs the S&P 500 | −4.0 pts | +32.9 pts |
| vs the Nasdaq-100 | −9.5 pts | +27.4 pts |
| Below its high | −8.9% | −12.5% |
IFRA in plain words
By weight, 71% of IFRA's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 96%. The top ten holdings are 33% of the fund across 164 positions, as published by its issuer for Sep 10, 2026. Over the year to Sep 11, 2026 the fund returned +13.5% with distributions reinvested against +17.5% for the S&P 500, so a holder was behind by 4.0 pts. It sits 8.9% below its all-time high of Jun 25, 2026.
QTUM in plain words
By weight, 35% of QTUM's portfolio is stocks that are also in the S&P 500; its active share against the S&P 500 is 83%. The top ten holdings are 17% of the fund across 89 positions, as published by its issuer for Sep 14, 2026. Over the year to Sep 11, 2026 the fund returned +50.4% with distributions reinvested against +17.5% for the S&P 500, so a holder was ahead by 32.9 pts. It sits 12.5% below its all-time high of Jun 2, 2026.
Questions people ask
- Which is more different from the S&P 500, IFRA or QTUM?
- IFRA has 71% of its weight in S&P 500 names and QTUM has 35%, so IFRA differs more from the index.
- Which is cheaper, IFRA or QTUM?
- IFRA charges 0.30% a year and QTUM charges 0.40%, so IFRA is cheaper. Fees come from each fund's prospectus.
Other comparisons
Where these figures came from
ETFIQ links to the documents behind every figure. It is not affiliated with any issuer, and a link is not an endorsement.
Cite this page. ETFIQ, IFRA against QTUM, data as of Sep 11, 2026. https://etfiq.com/compare/themes/ifra-vs-qtum Free to use with attribution; the underlying files are at Open data.